Papers with CTGL

1 papers
Text-Attributed Graph Learning with Coupled Augmentations (2025.coling-main)

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Challenge: Existing models focus on either the text attribute or the graph structure, neglecting the other aspect.
Approach: They propose a model that combines the strengths of both text-learning and graph-learning models in parallel.
Outcome: The proposed model outperforms existing models on diverse datasets.

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